Examining the Security Posture of an Anti-Crime Ecosystem

The rapid proliferation of anti-crime and public safety technologies has coincided with a decline in practical privacy expectations. Independent security research was conducted on components of a single vendor’s ecosystem, specifically gunshot detection systems, license plate readers (LPRs), and the AI compute boxes supporting them. These devices, deployed widely across the United States, were procured through secondary marketplaces and examined to assess their security posture.

The research identifies forty-five total vulnerabilities, across areas including authentication, cryptographic, and system design weaknesses; twenty-two have received CVE assignments. Findings span hardware interfaces, debug and bootloader configurations, end-of-life components, and custom Android based applications embedded within two device classes.

The objective of this study is to raise awareness and strengthen the resilience of law enforcement and public safety linked technologies by highlighting exploitable weaknesses in their current deployment models. This release (Version 1.0 Public Release, 1.0PR) formalizes the publication of the whitepaper Examining the Security Posture of an Anti-Crime Ecosystem by Jon “GainSec” Gaines.